The effects of organizational contextual factors on physicians' attitude toward adoption of Electronic Medical Records

Abdekhoda, Mohammadhiwa and Ahmadi , Maryam and Gohari , Mahmodreza and Noruzi, Alireza The effects of organizational contextual factors on physicians' attitude toward adoption of Electronic Medical Records. Journal of Biomedical Informatics, 2015, vol. 53, pp. 174-179. [Journal article (Paginated)]

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English abstract

Introduction: Physicians’ adoption seems to be a significant issue when comprehensive implementation of Electronic Medical Records (EMR) is considered. This study was conducted to determine the organizational contextual factors affecting physicians’ adoption of EMR. Methods: This was a descriptive-analytical study in which a sample of 330 physicians working in hospitals affiliated to Tehran University of Medical Sciences was selected. Physicians’ attitudes toward EMRs’ adoption have been assessed by a conceptual path model of Technology Acceptance model (TAM) and organizational context variables. Collected data were analyzed by SPSS16 using regression analysis. The final model was tested by structural equation modeling (SEM) and represented by SPSS–AMOS, structural equation modeling software. Results: The results suggest that modified proposed conceptual path model explains about 56% of the variance of EMRs’ adoption. The findings also evidenced that perceived usefulness (PU), perceived ease of use (PEOU), management support; physicians’ involvement, physicians’ autonomy, and the doctor–patient relationship have direct and significant effect on physicians’ attitudes toward EMRs’ adoption. However, training showed to have no significant effect on PU and PEOU. Conclusion: The present study acknowledged that considerable part of physicians’ attitude toward EMRs’ adoption is controlled by organizational contextual factors. These factors should be subsequently the major concern of health organizations and health policy makers.

Item type: Journal article (Paginated)
Keywords: Electronic Medical Record, Physician, Technology Acceptance Model, Organizational contextual factors, Structural equation modeling
Subjects: B. Information use and sociology of information > BA. Use and impact of information.
C. Users, literacy and reading. > CD. User training, promotion, activities, education.
Depositing user: Dr. Mohammadhiwa Abdekhoda
Date deposited: 27 Nov 2015 09:54
Last modified: 28 Nov 2015 13:32
URI: http://hdl.handle.net/10760/28409

References

[1] Morton ME. Use and acceptance of an electronic health record: factors affecting physician attitudes [Retrieved From ProQuest Dissertations and Theses Database. (Umi No. 3327272)]: Drexel University; 2008.

[2] Ash JS, Bates DW. Factors and forces affecting EHR system adoption: report of a 2004 ACMI discussion. J Am Med Inform Assoc 2005; 12(1):8–12.

[3] Bakhet A. Factors affecting physician attitudes about the medical information system usage and accepting through the mandate implementation of integrated medical information system at the Saudi Arabia national Guard health system: a modified technology acceptance model. Pittsburgh; 2003.

[4] Kowitlawakul Y. Technology acceptance model: predicting nurses’ acceptance of telemedicine technology (eICU ); 2008.

[5] Wu JH, Shen WS, Lin LM, Greenes RA, Bates DW. Testing the technology acceptance model for evaluating healthcare professionals’ intention to use an adverse event reporting system. Int J Qual Health Care 2008;20(2):123–9.

[6] Melas CD, Zampetakis LA, Dimopoulou A, Moustakis V. Modeling the acceptance of clinical information systems among hospital medical staff: an extended TAM model. J Biomed Inform 2011;44(4):553–64.

[7] Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. Mis Quart 1989:320.

[8] Abdekhoda M, Ahmadi M, Dehnad A, Hossini F. Information technology acceptance in health information management. Methods Inf Med 2013;53(1).

[9] Conrad ED. Willingness to use IT innovations: a hybrid approach employing diffusion of innovations and technology acceptance models. Southern Illinois University Carbondale; 2009.

[10] Duyck PPB, Devolder P, Voet T, Adang L, Vercruysse J. User acceptance of a picture archiving and communication system–applying the unified theory of acceptance and use of technology in a radiological setting. Methods Inf Med 2008;47(2):149–56.

[11] Aggelidis VP, Chatzoglou PD. Using a modified technology acceptance model in hospitals. Int J Med Informatics 2009;78(2):115–26.

[12] Moeinedin FM. Assessing primary care physicians’ attitudes towards adoption of an electronic tool to support cancer diagnosis. University of Toronto; 2011.

[13] Aaronson JW, Murphy-Cullen CL, Chop WM, Frey RD. Electronic medical records: the family practice resident perspective. Fam Med – Kansas City 2001;33(2):128–32.

[14] Gadd CS, Penrod LE, editors. Dichotomy between physicians’ and patients’ attitudes regarding EMR use during outpatient encounters. In: Proceedings of the AMIA symposium. American Medical Informatics Association; 2000.

[15] Lorenzi NM, Riley RT. Managing change: an overview. J Am Med Inform Assoc 2000;7:116–24.

[16] Hsu J, Huang J, Fung V, Robertson N, Jimison H, Frankel R. Health information technology and physician-patient interactions: impact of computers on communication during outpatient primary care visits. J Am Med Inform Assoc 2005;12(4):474–80.

[17] Wager KA, Lee FW, Glaser JP. Managing health care information systems: a practical approach for health care executives. Jossey-Bass; 2005.

[18] Huber J. Patient acceptance of computerized progress note documentation. Information technology for the practicing physician. Springer; 2001. p. 114–7.

[19] Anderson JG. Clearing the way for physicians’ use of clinical information systems. Commun ACM 1997;40(8):83–90.

[20] Wilkins MAJ. The health information manager as change agent in adopting electronic health record technology in hospitals. Capella University; 2009.

[21] Nair SV. Benefits and security of electronic health record (EHR) use by pediatric staff: A technology acceptance model (TAM)-based quantitative study: Doctor of Philosophy thesis. Capella University; 2011.

[22] Zhang N, Guo X, Chen G. IDT-TAM integrated model for IT adoption. Tsinghua Sci. Technol. 2008;13(3):306–11.

[23] Holden RJ, Karsh BT. The technology acceptance model: its past and its future in health care. J Biomed Inform 2010;43(1):159–72.

[24] Pai FY, Huang KI. Applying the technology acceptance model to the introduction of healthcare information systems. Technol Forecast Soc Chang 2011;78(4):650–60.

[25] Holden RJ, Brown RL, Scanlon MC, Karsh B-T. Modeling nurses’ acceptance of bar coded medication administration technology at a pediatric hospital. J Am Med Inform Assoc 2012; 19(6):1050–8.


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